AI Product Expert for Oil & Gas

Overview

• You will work with customers, identify high impact AI use cases in their SAP landscape, and build end to end solutions in close collaboration with multiple roles at SAP within product & engineering and customer services & delivery.
• You will:
• Work directly with customers from the Oil, Gas & Energy industry and the Chemicals industry in KSA to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
• Design and implement end to end AI solutions: data pipelines from SAP, model selection/ integration (SAP Business AI/ BTP services), and UI/process integration.
• Run agile cycles (PoC pilot production), gather user feedback, and drive adoption in real business processes.
• Act as the bridge between Riyadh Lab customers and global SAP Product & Engineering, feeding requirements, gaps, and patterns into the roadmap.
• Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across KSA and the region.

Core responsibilities

Experience

• working with local customers and partners is a plus.
• Strong software engineering background (e.g., Python/ Java/ TypeScript) plus hands on experience with SAP BTP, integrations, and at least one major SAP domain (finance, supply chain, HR, public sector).
• Solid grounding in data and AI/ ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).
• End to End process knowledge of relevant fundamental Oil & Gas processes such as Asset Management., Finance, Procurement, Logistics in Up-, Mid- and Downstream.
• End to End process knowledge of relevant fundamental Chemicals processes in Product Lifecycle Management, Production Planning, Environmental, Health & Safety.
• Knowledge of the utilities market, its evolution, industry-specific challenges and SAP s industry portfolio
• Confident in customer facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade offs in business language.
• Comfortable operating like a forward deployed engineer: high ownership, ambiguity tolerant, collaborative with global teams, and motivated by real impact at customers.